课堂上的 DataRobot
公司规模
Large Corporate
地区
- America
国家
- Canada
产品
- DataRobot Enterprise AI
技术栈
- RStudio
实施规模
- Departmental Deployment
影响指标
- Digital Expertise
- Innovation Output
技术
- 分析与建模 - 机器学习
适用行业
- 教育
适用功能
- 产品研发
用例
- 预测性维护
服务
- 培训
关于客户
本案例研究中的客户是加拿大皇后大学史密斯商学院。该学院成立于 1919 年，位于安大略省金斯顿，因其创新的商业教育方法而获得国际认可。这包括在人工智能、金融科技、分析、文化多样性、团队动态、社会影响等新兴领域创建开创性的课程。该学院的学生通常是职业人士，他们是分析的消费者，而不是生产者。他们中的许多人是或即将成为分析项目和团队的经理。
挑战
加拿大皇后大学史密斯商学院以其创新的商业教育方法而闻名，包括在人工智能、金融科技、分析、文化多样性、团队动态、社会影响等新兴领域创建开创性的课程。史密斯商学院管理分析学杰出教授安东·奥夫钦尼科夫教授预测模型、数据科学和机器学习课程。他的学生通常是在职专业人士，他们是分析的消费者，而不是生产者。他们中的许多人已经或即将成为分析项目和团队的经理。作为课程的一部分，安东希望他的学生至少在基础层面上熟悉原始编码，以便充分了解他们试图预测的幕后情况。然而，手动编码过程可能非常耗时且复杂，因此需要更有效的解决方案。
解决方案
Anton 向他的学生介绍了 DataRobot 的自动化机器学习平台。该平台用于 Scholastic 旅游公司的留存建模案例研究，这是一项专注于预测客户流失的留存建模练习。经过一周的案例作业，通过手动编码预测模型，学生们了解到 DataRobot 和自动化如何成为解决方案。然后，学生们可以在有限的时间内访问 DataRobot 平台进行试用。据 Anton 说，他们中的许多人发现自动化机器学习非常有价值，以至于他们开始在公司进行商业评估。该解决方案不仅让学生对自动化 AI 应用程序有了实际的了解，还为他们未来的职业生涯提供了宝贵的工具。
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